Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP server that provides tools and resources for interacting with n8n API
An native MCP server extension for Ghidra
Model Context Protocol (MCP) server for Kubernetes and OpenShift
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.
The self-hosted AI agent runtime and multi-agent framework for autonomous agents. Open-source agent swarms with durable agent memory, MCP tools, skills, delegation, schedules, and 23+ LLM providers —...
Search repositories, inspect issues, review pull requests, and summarize releases.
The official ElevenLabs MCP server
MCP Server for kubernetes management commands
The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
A MCP server for Home Assistant
Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP server, and an ACP agent any editor...
Agent Skills
Anthony Fu's curated collection of agent skills.
Skillpack helps teams turn AI skills into trusted local agents that can run in their own environment and be used directly from and .
Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+
Formerly known as the ODIN Claude Plugin. The repo URL stays the same; the brand has matured.
The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents.
Minimal Coding Agent Harness on MCP for ChatGPT, Claude, Hermes, Grok Bot, OpenClaw
Starter-kit for writing services in Go using Kubernetes.
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
In the AI era, why can't everyone be a Principal Investigator?
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...
Spec-Driven Develop is an open-source, platform-agnostic workflow for AI coding agents. It turns large software changes into a spec-driven loop: project analysis, task decomposition, GitHub Issue/PR...
You don't write AGENTS.md. You train it with gradient descent.